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The uncertainty of consumers' perceived value makes online education enterprises face great challenge in developing the pricing strategy. So the purpose of this paper is to research the pricing strategies of online education products by considering knowledge consumers' characteristics.

Considering consumer matching degree and price comparison, this study establishes the utility functions of consumers in normal sales period and discount selling period. On this basis, the research builds pricing models of the online education enterprise under the strategy of price undertaking and intertemporal pricing strategy. It further discusses the impact of consumer matching degree, consumer price sensitivity and different types of consumers on the product price and profit of online education enterprises, and reveals the optimal pricing strategy of the enterprise.

Consumer matching degree and price sensitivity coefficient have positive effects on product price and enterprise profit, but they have different effects on product demand; there are differences in the perceived value of the three types of consumers, and matching consumers are the optimal consumer group; the intertemporal pricing strategy is better than the strategy of price undertaking only when the price sensitivity coefficient is greater than a critical value.

This study enriches the literature on the pricing model of online education products and owns a practical significance to guide the online enterprise to make marketing strategies to increase profit.

Psychosocial risks in the workplace include occupational risks such as stress, harassment, burnout, and workplace violence that affect the physical integrity and mental health of employees (Bunker et al., 2003). Work-related psychosocial risks are relevant to the design and management of the job and its social and organizational contexts (Leka, Griffiths, & Cox, 2003). In this study, it was investigated which factors are effective in the psychosocial risk assessments of blue-collar workers in Turkey and whether there is a significant effect of gender in these assessments. The sample of the research consists of 663 employees working in a production facility in Tekirdag. The results showed that cognitive demands, the meaning of work, and development opportunity variables differed by gender from psychosocial risks. Women evaluate lower scores than men in expressions related to cognitive demands, the meaning of work, and development opportunities. Quantitative demands, emotional demands, burnout, and job satisfaction did not differ significantly by gender. The findings provide an understanding of the potential risks in the working conditions of blue workers in Turkey and provide the basis for future research.

This paper aims to examine the impact of COVID-19 on inflation in Indonesia. There are two questions in this study: (1) Is there an impact of COVID-19 on inflation in Indonesia? and (2) whether there are differences in the impact of COVID-19 on regional inflation in Indonesia, considering the different intensities associated with COVID-19.

The estimation technique showing the impact of the COVID-19 pandemic on inflation uses the difference-in-differences (DID) method described by Pischke (2008). The core idea of the estimation above is continuous DID using panel data. No province was affected by COVID-19 before 2020:Q1. Once COVID-19 hits the economy, the effects vary from one district to the other.

The authors find that the severity of the COVID-19 pandemic negatively affects inflation – the more severe the pandemic, the lower the inflation. This finding conforms with several studies suggesting higher demand pressures than supply during the pandemic. Compared with supply-side indicators such as production index, demand-side indicators – such as consumer confidence index and real sales index – fell more sharply.

In the Introduction section, the authors have added a discussion that indeed the COVID-19 pandemic affects inflation through both the demand- and supply-side shocks. While factors driving regional differences in inflation rate are important research and policy questions, the analysis of these factors is outside the scope of this study. The study focuses on the COVID-19 impact on inflation and whether the pandemic disproportionately affects some regions than the others.

This research is important to provide an understanding of the nature of the pandemic on inflation in the context of the Indonesian economy, which is essential to policy formulation, especially for the Central Bank in carrying out the mandate to maintain rupiah stability. This issue is due to the implications of different policy responses between demand- and supply-side shocks.

As a novelty in this study and research gap, the authors use a continuous DID method to account for the varying intensity of COVID-19 across the provinces. In particular, the authors use the number of positive cases of COVID-19 per 1,000 population as opposed to just a binary indicator of before-and-during COVID-19 across provinces.

This study examines how service feedback and physician popularity affect physician demand in the context of virtual healthcare environment. Based on the signaling theory, the critical factor of environment uncertainty (i.e. disease risk) and its impact on physician demand is also investigated. Further, the research on the endogeneity of online reviews in healthcare is also examined in the current study.

A secondary data econometric analysis using 3-wave data sets of 823 physicians obtained from two PRWs (Healthgrades and Vitals) was conducted. The analysis was run using the difference-in-difference method to consider physician and website-specific effects.

The study's findings indicate that physician popularity has a stronger positive effect on physician demand compared with service feedback. Improving popularity leads to a relative increase in the number of appointments, which in turn enhance physician demand. Further, the impact of physician popularity on physician demand is positively mitigated by the disease risk.

The authors' research contributes to a better understanding of the signaling transmission mechanism in the online healthcare environment. Further, the findings provide practical implications for key stakeholders into how an efficient feedback and popularity mechanism can be built to enhance physician service outcomes in order to maximize the financial efficiency of physicians.

The purpose of the study is to investigate the impact of implementing anti-dumping duties on imported Australian wine to China in the short- and long-run, respectively.

First, the Difference-in-Differences (DID) method is used in this study to evaluate the short-run causal effect of implementing anti-dumping duties on imported Australian wine to China. Second, a Bayesian ensemble method is used to predict 2023–2025 wine exports from Australia to China. The disparity between the forecasts and counterfactual prediction which assumes no anti-dumping duties represents the accumulated impact of the anti-dumping duties in the long run.

The anti-dumping duties resulted in a significant decline in red and rose, white and sparkling wine exports to China by 92.59%, 99.06% and 90.06%, respectively, in 2021. In the long run, wine exports to China are projected to continue this downward trend, with an average annual growth rate of −21.92%, −38.90% and −9.54% for the three types of wine, respectively. In contrast, the counterfactual prediction indicates an increase of 3.20%, 20.37% and 4.55% for the respective categories. Consequently, the policy intervention is expected to result in a decrease of 96.11%, 93.15% and 84.11% in red and rose, white and sparkling wine exports to China from 2021 to 2025.

The originality of this study lies in the creation of an economic paradigm for assessing policy impacts within the realm of wine economics. Methodologically, it also represents the pioneering application of the DID and Bayesian ensemble forecasting methods within the field of wine economics.

The purpose of this paper is to investigate regional impact of macroeconomic and regional policy impulses, using our newly developed multi-regional computable general equilibrium (CGE) model for three, structurally distinctive Polish macro-regions.

In this study, we build an interregional social accounting matrix for Poland and use it to develop a small scale, three-region CGE model, reflecting the size of regional economies and cross-regional differences in industrial structures, while also explicitly accounting for the dynamics of main economic relationships across regions, such as interregional flows in commodities, labor and capital. The model is subsequently use to simulate regional effects of various policy impulses.

We demonstrate important cross-regional differences in the transmission mechanism of macro-level policies, which either affect regional output and its individual components (as in the case of imposing shocks to VAT or PIT rates) or are limited to the components, while preserving a rather uniform impact on output (as in the case of imposing shocks to wages). Furthermore, we contribute to the regional policy equity-efficiency trade-off debate, by illustrating quantitatively how, due to structural differences, spatially targeted expenditure measures might promote either regional convergence or aggregate output growth at the country-level.

Prior to our study, regional CGE models have not been used to simulate spatial distribution of aggregate shocks in Poland or in any other CEE country. Another originality of our study lies in comprehensive evaluation of various policy impulses, from the perspective of their impact on the respective region, spillovers to the other regions and its overall, country-level effect.

The authors provide a novel interpretation of the relationship between skill demand and labour market concentration based on the training rationale.

The authors use a novel data set on Italian online job vacancies during 2013–2018 to analyse the relationship between labour market concentration and employers' skill demand. The authors construct measures of market concentration and skill intensity in the local labour market. The authors regress the measures of skill demand on market concentration, controlling for sector, occupations and other features of the labour market. The authors also use the Hausman–Nevo instrument for market concentration.

The authors show that employers in a highly concentrated labour market demand competencies associated with the ability of workers to learn faster (e.g. social skills) rather than actual knowledge. They also require less experience but higher education. These results are consistent with the hypothesis that employers in more concentrated labour markets are more prone to train their employees. Instead of looking for workers who already have job-specific skills, they look for workers who can acquire them faster and efficiently. The authors provide a theoretical framework within which to analyse these aspects as well as providing a test for the relevant hypotheses.

In addition to cross-countries differences in labour market regulations, the authors' findings suggest that policy authorities should consider the local labour market structure when studying workforce development programmes aimed at bridging the skill gap of displaced workers. Moreover, the authors show that market concentration can have relevant implications for human resource (HR) managers by affecting their recruitment behaviour through the demand for skills. In fact, concentrated markets tend to favour firms' collusion and anti-competitive behaviour that could strongly affect HR management practices.

The authors' paper innovates on the literature in a number of ways. First, the authors provide evidence of local labour market concentration in Italy. Second, the authors provide evidence of skill demand at the local level using a detailed skill taxonomy that goes beyond the classical distinction between high and low skills. Third, and most importantly, the authors provide evidence of the relationship between skill demand and labour market concentration. By analysing detailed skills and competencies, the authors take one step beyond understanding the features of labour demand in monopsonistic markets.

Motivated by recent research indicating that the operational performance of an enterprise can be enhanced by building a supporting data-driven environment in which to operate, this paper presents a simulation framework that enables an examination of the effects of applying smart manufacturing principles to conventional production systems, intending to transition to digital platforms.

To investigate the extent to which conventional production systems can be transformed into novel data-driven environments, the well-known constant work-in-process (CONWIP) production systems and considered production sequencing assignments in flowshops were studied. As a result, a novel data-driven priority heuristic, Net-CONWIP was designed and studied, based on the ability to collect real-time information about customer demand and work-in-process inventory, which was applied as part of a distributed and decentralised production sequencing analysis. Application of heuristics like the Net-CONWIP is only possible through the ability to collect and use real-time data offered by a data-driven system. A four-stage application framework to assist practitioners in applying the proposed model was created.

To assess the robustness of the Net-CONWIP heuristic under the simultaneous effects of different levels of demand, its different levels of variability and the presence of bottlenecks, the performance of Net-CONWIP with conventional CONWIP systems that use first come, first served priority rule was compared. The results show that the Net-CONWIP priority rule significantly reduced customer wait time in all cases relative to FCFS.

Previous research suggests there is considerable value in creating data-driven environments. This study provides a simulation framework that guides the construction of a digital transformation environment. The suggested framework facilitates the inclusion and analysis of relevant smart manufacturing principles in production systems and enables the design and testing of new heuristics that employ real-time data to improve operational performance. An approach that can guide the structuring of data-driven environments in production systems is currently lacking. This paper bridges this gap by proposing a framework to facilitate the design of digital transformation activities, explore their impact on production systems and improve their operational performance.

This study aims to examine core professional competencies required by organizational learning (OL) field, using the main knowledge, skills and abilities (KSA) theoretical framework for job candidates in Israel.

An analysis was conducted on 100 job postings from two online platforms using content analysis techniques. The job offers were evaluated according to criteria established by prior research conducted in the USA.

The findings indicate that job announcements appear for three main professions in the field of learning in organizations in Israel: learning designer, learning developer and instructional designer. Most of the offers are for full-time jobs, without requiring a relevant academic degree or previous experience. In comparison to the US employment market, in Israel the demand for OL professionals necessitates communication abilities in English, macro development skills, knowing how to manage professional training and mastery of learning through innovative technology such as augmented reality/virtual reality. The findings also indicated which competencies are most recently required in the OL branch in Israel and the significant differences in KSA necessary for OL professionals in each of the three identified professions.

The study highlighted critical elements of the OL professional field and has implications for OL professionals seeking employment and human resources (HR) recruiters seeking them. Job seekers need to know the current job market requirements in the OL field, and HR recruiters need to know what is happening in the current job market. This can be done by following updated job offers in the OL field and responding quickly to changes. The findings also have implications for the educational/academic aspect of the OL teachers in various settings and inform them to refine the content of their syllabus and course content in accordance with the current requirements of the job market in the field of OL.

The study is based on the KSA theoretical framework and analysis of the OL US job market according to Wang et al.’s (2021) work. This study presents the Israel OL job market and discuss the authors’ critical view on Wang et al.’s work.

This study aims to explore how small and medium-sized accounting practices (SMPs) make sense of and position themselves against the changing demand for services. It is argued that changing demand for services from pure compliance to advisory acts as a trigger for sensemaking among SMP owners.

A qualitative multiple case study research approach is adopted, including semistructured interviews with key informants from seven Norwegian SMPs as well as document analysis.

The findings suggest that there is heterogeneity in the small practitioner segment of the accounting profession in making sense of changing demand for the nature of services. Three different situations emerged due to sensemaking, thus, the three distinct positions. Metaphors, namely, chameleons, turtles and bulls, are used to represent the positioning of SMPs. The sensemaking of actors as an adaptation led them to act as chameleons while distancing and resistance resulted in their positioning as turtles, and bulls, respectively.

Despite the richness of data indicating a clear variation in interpretation among actors, the study is case based, with a limited number of SMPs, and caution should be exercised when generalising its conclusions.

The centrality of people as a driving force for positioning among SMPs and diversity among SMPs in value creation provide insights for both SMPs and their customers.

This study highlights the meaning and patterns of value creation and the positioning of accounting firms according to their sensemaking within an under-studied segment of the accounting profession.